97 results about "Ecosystem services" patented technology

The invention provides an ecological system service flow simulation and collaborative tradeoff relation quantification method based on a graph neural network, and relates to the technical field of ecological system service simulation and quantification. According to the method, the Huaihe River basin serves as a research area, firstly, a landscape is abstracted into a graph structure, ecological patches serve as nodes and are endowed with multi-dimensional features, ecological process flow paths serve as edges, and flow attributes are quantified; then, constructing a graph neural network model, and learning inherent rules of generation, flow and consumption of an ecological system service through training; and finally, realizing ecological system service, particularly dynamic simulation of supply service and adjustment service, and quantifying the collaborative tradeoff relation by adopting a multi-index fusion method. According to the method, the nonlinear correlation of the ecological process can be accurately captured, the flow simulation and relation quantification precision is improved, scientific support is provided for ecological planning and management of the Huaihe River basin, and compared with an InVEST model, the simulation error is reduced by 20%-30%, and the collaborative tradeoff recognition accuracy is improved by 15% or above.

The invention relates to a method for identifying an ecological restoration priority area of an agricultural and pastoral interlaced area. The method comprises the steps of collecting ecological environment data of a research area; based on the ecological environment data, determining an ecological source through ecological system service importance evaluation and landscape connectivity evaluation; based on the ecological source, constructing an ecological comprehensive resistance surface, and extracting ecological pinch points and ecological obstacle points; based on the kernel normalization difference vegetation index and the humidity index, time sequence remote sensing trend analysis is carried out on the research area, and a vegetation degradation area is obtained; and regarding the ecological pinch point, the ecological obstacle point and the vegetation degradation area as an ecological restoration priority area. According to the method, ecological security pattern construction of a static view angle and dynamic analysis based on a long-time sequence remote sensing index are combined, a dual-system ecological restoration priority area identification framework is constructed, and the land space ecological protection and restoration priority area identification method of a farming and pastoral interlaced region is enriched; and scientific guidance is provided for improving overall restoration of a regional ecological system.

The invention discloses an ecological system service function evaluation method based on multi-source geographic spatio-temporal data, which comprises the following steps: S1, collecting the multi-source geographic spatio-temporal data to form a geographic spatio-temporal data set; s2, encoding spatial position information and time sequence information in the geographic spatio-temporal data set, and forming a spatio-temporal association feature set through an association relationship of data in a spatio-temporal dimension; s3, inputting the time-space correlation feature set into the constructed ecosystem service function evaluation model, obtaining a nonlinear mapping relationship between different features and ecosystem service functions, and establishing quantitative correlation between the features and the ecosystem service functions; s4, optimizing the model by adopting a training strategy combining reinforcement learning and supervised learning; and S5, inputting the space-time correlation characteristics of the to-be-evaluated region into the trained ecological system service function evaluation model, and obtaining a quantitative evaluation result. According to the invention, comprehensive, accurate and dynamic evaluation of ecological system service functions is realized.

The invention discloses a mine ecological restoration evaluation and analysis method, a mine ecological restoration evaluation and analysis device, a mine ecological restoration evaluation and analysis device and a computer readable storage medium, and the method comprises the steps: carrying out the basic data collection of a to-be-evaluated mine region, and obtaining an ecological restoration current situation data set; performing index system construction based on the ecological restoration current situation data set, the continuously monitored ecological data time sequence and the ecological system service function data to obtain an ecological restoration degree index set, an ecological stability index set and an ecological functional index set; environment coefficient calculation is carried out based on the obtained plateau environment characteristic data, and an environment stress coefficient is obtained; based on the ecological restoration degree index set, the ecological stability index set, the ecological functional index set and the environmental stress coefficient, evaluation model construction processing is carried out, and a comprehensive ecological restoration evaluation model is obtained; and calculating the actually measured index data based on the comprehensive ecological restoration evaluation model to obtain a comprehensive evaluation score.

The invention discloses an urban ecosystem service tradeoff and cooperative relationship analysis method and device. The method comprises the following steps: dividing a target region according to different spatial scales to obtain sample sets corresponding to the spatial scales respectively; acquiring basic geographic information data of the target area in different time periods; according to the basic geographic information data, calculating service evaluation results of each ecological system service in the target area and each sample in different time periods; according to a service evaluation result, calculating a pairwise trade-off cooperative relationship of each ecological system service under a plurality of spatial scales and time sequences; the samples are clustered according to the service evaluation results of the samples to obtain a plurality of service clusters, and the service clusters are used for representing overall tradeoff cooperation features of multiple ecological system services; and determining a management strategy of each ecological system service according to the pairwise trade-off cooperation relationship and the overall trade-off cooperation characteristics. According to the invention, tradeoff and collaboration characteristics of each ecological system service can be identified under multiple spatial scales and multiple time sequences.

The invention discloses an ecological protection area identification method based on ecological system service supply and demand mismatching, which comprises the following steps: measuring and drawing each ecological system service of a supply side and a demand side to obtain a supply horizontal spatial distribution map and a demand horizontal spatial distribution map; making a supply-demand aggregation graph by adopting GeoDa software, calculating by adopting ArcGIS software to obtain a comprehensive supply-demand ratio index, and constructing a comprehensive supply-demand ratio index spatial distribution graph; three main driving factors of the research area are screened out based on an OPGD model, and a driving space heterogeneity distribution diagram of the three driving factors is obtained by adopting an MGWR model; based on each ecological system service supply and demand aggregation graph, performing equal-weight integration by using a weighted stacking tool of ArcGIS software to generate a summary grid; then, based on the comprehensive supply-demand ratio index spatial distribution map, dividing the comprehensive supply-demand ratio index spatial distribution map into three clear areas by adopting a natural discontinuity point grading method; and finally, carrying out spatial integration by adopting a K-mode clustering analysis method in combination with the heterogeneity distribution diagram of the driving space, and completing the recognition of the ecological protection area.

The invention relates to the technical field of data processing, in particular to an intelligent ecological environment partition management and control system and method, and the system comprises an ecological environment data collection module, an ecological environment quality evaluation module, an ecological environment management and control module and an ecological system database. According to the intelligent ecological environment zoning management and control system and method provided by the invention, the environment pollution degree evaluation index, the natural resource utilization efficiency evaluation index and the ecological system service quality evaluation index of each environment control area are comprehensively analyzed, and the comprehensive analysis method not only can comprehensively evaluate the regional ecological environment quality, but also can comprehensively evaluate the ecological environment quality. And standardization of ecological environment quality evaluation is also realized, and objectivity and consistency of evaluation results are ensured. By comparing different indexes, main problems and weak links influencing the regional ecological environment quality can be identified, and a basis is provided for formulating a targeted environmental protection strategy. And sustainable development of the region can be realized.

The invention discloses a coastal zone human activity interference remote sensing quantification and ecological profit and loss evaluation method and device, belongs to the technical field of remote sensing monitoring, and solves the problems of low efficiency due to dependence on field investigation and insufficient reliability caused by separation of ecological evaluation and remote sensing data in the prior art. The method is characterized by comprising the following steps: acquiring two-stage multispectral remote sensing images containing multiple wavebands such as blue light at an interval of 5-10 years and with spatial resolution of 10-30m, and synchronously integrating tide, elevation and geological background data; eliminating environmental errors of image radiometric calibration and atmospheric correction; calculating a normalized building index based on the short-wave and near-infrared band reflectivity, and detecting a quantized interference area in combination with land utilization classification change; and the change area and the corrected intensity change value are extracted and input into an ecological system service value model, and an evaluation result is output by using a unit area value equivalent factor method. According to the method, full-process remote sensing automatic processing is realized, field investigation is avoided, the difference adjustment cost is effectively reduced, and the pertinence of management decision is remarkably improved.

The invention discloses a fishery water area ecosystem service value improvement evaluation method based on an INVEST model and a related device, and the method comprises the steps: collecting multi-layer vertical profile water quality data in real time through setting an underwater sensor matrix with adaptive profile adjustment capability; the method comprises the following steps: acquiring hyperspectral image data, multispectral and SAR data and fishery fishing and breeding data, and generating a standardized spatio-temporal data set; inputting the standardized spatio-temporal data set into an INVEST evaluation model to synthesize the standardized spatio-temporal data set into an ecological system service total value; simulating a dynamic evolution track of the service value of the ecological system; and performing global optimization on the dynamic evolution trajectory of the ecological system service value to obtain an ecological system service value improvement optimization strategy set. According to the method, an underwater sensor matrix with adaptive profile adjustment capability is created for the first time, intelligent tracking and continuous monitoring of a key vertical ecological layer of a water body are realized, an optimal measure combination is output by predicting a future service value evolution trajectory in a rolling manner, and a time sequence and space deployment map is implemented.

The invention discloses a water area space land utilization function evaluation regulation and control method. The method comprises the following steps: collecting multi-source heterogeneous data of a water area space to construct a three-dimensional heterogeneous information network; inputting the three-dimensional heterogeneous information network into a pre-trained heterogeneous graph neural network to generate a node embedding vector; based on the node embedding vector, extracting a dynamic evolution characteristic tensor of a water area space land utilization function through a space-time diagram convolutional network; inputting the dynamic evolution characteristic tensor into an ecological system service value evaluation model, and outputting an ecological value matrix; and by taking the ecological value matrix as a constraint condition, calling a multi-objective optimization algorithm and performing collaborative optimization in combination with a multi-agent reinforcement learning framework, and generating a Pareto optimal solution set of water area space land utilization planning and a corresponding water area function partition configuration scheme. According to the method, scientificity, reasonability and sustainability of water area space land utilization planning are achieved, the land utilization rate is increased, and sustainable development of the water area space is promoted.

This invention provides a Bayesian-based method and apparatus for spatial trade-off and synergistic optimization of ecosystem services, relating to the fields of ecology and statistics. The invention acquires an ecological spatial database of a target area, uses ArcGIS software's netting and clipping tools to generate a grid layer of a specified size for the target area, obtaining a pixel set. Based on the ecological spatial database and pixel set, the blue carbon storage, biodiversity maintenance capacity, and coastal protection capacity of the target area are calculated, representing three ecosystem services. Furthermore, the coupling coordination degree is obtained to analyze the overall coordination level among ecosystem services. A Bayesian-based ecosystem service synergy prediction model is constructed using Netica software to identify key driving factors and output the probability distribution of corresponding nodes, simulating and analyzing potential synergistic impacts under different scenarios. This invention can accurately identify and clarify the trade-off and synergistic relationships of key ecosystem services such as coastal wetlands, achieving synergistic spatial optimization of ecosystem services.

The application provides a kind of urban ecological restoration priority order identification method, device and electronic equipment, the method comprises: obtaining the spatial distribution data of multiple ecosystem service indicators in different years in target urban area and carrying out standardization processing;According to the spatial distribution data of multiple ecosystem service indicators in different years after standardization processing, determine the ecosystem service cluster value ESB of each pixel corresponding to the preset grid scale in different years in target urban area;According to the ESB of each pixel in different years and impervious surface index value ISA, determine the ecological restoration target year period;For any target pixel, according to its ISA change rate in the ecological restoration target year period, and the ESB change rate of its neighborhood pixel in the ecological restoration target year period, determine its ecological restoration priority order. Prior area of urban ecological restoration area can be divided, improve the efficiency and economy of urban area ecological restoration.

The utility model relates to the technical field of rainwater management in urban planning and construction, and discloses a sponge city rainwater management system for suburb areas, which comprises a rainwater collection module, a rainwater purification module and a rainwater storage module, the rainwater collecting module comprises a roof water collecting device, a shallow concave type water collecting groove and a linear water collecting ditch. According to the sponge city rainwater management system for the suburb area, through the arrangement of a rainwater collection module, a rainwater purification module, a rainwater storage module, a second water pump and a drainage pipeline, the whole-process closed-loop management of rainwater from collection, purification, storage to reuse can be realized, so that the utilization rate of the rainwater in the suburb area is increased; according to the invention, the water resource waste is reduced, the ecological system service function in the region can be enhanced, the operation and maintenance cost of municipal infrastructures is reduced, the service life of equipment is prolonged, and the public service quality and the resident life quality are improved.

The invention discloses a mining area ecological restoration effect evaluation method coupling ecosystem service value and carbon reserve, which comprises the following steps: step (1), carrying out localization adjustment on equivalent values of various land classes in combination with actual land utilization characteristics of a mining area; performing ecological system service value evaluation in the mining area ecological restoration process by adopting an equivalent factor method; step (2), adopting a carbon reserve module of the InVEST model to measure and calculate the carbon reserve of the mining area; and (3) on the basis of the results of the step (1) and the step (2), calculating a correlation coefficient between the carbon reserves and the ecosystem service value, measuring a tradeoff cooperative relationship between the ecosystem service value and the carbon reserves according to the positive, negative and absolute values of the correlation coefficient, and judging the significance of the tradeoff cooperative relationship between the ecosystem service value and the carbon reserves through T test. The method has the following beneficial effects that the limitation of single index analysis in traditional evaluation is broken through, and a new method is provided for scientifically quantifying comprehensive benefits of ecological restoration of the mining area and optimizing a restoration technology path.

The invention relates to the technical field of territorial space planning, in particular to an ecological management zoning method based on ecological system service supply and demand evolution. The method comprises the following steps: acquiring supply source data and demand sink data of ecological system service of a target area; acquiring space obstacle data of the target area; based on the supply source data and the demand sink data, identifying a pollination transmission path in the target area in combination with the space obstacle data; calculating the service flow intensity between the supply source and the demand sink according to the pollination transmission path, and generating a service flow intensity distribution map; and based on the service flow intensity distribution diagram, evaluating the supply and demand matching degree of the ecosystem service of the target area, and determining a supply and demand matching diagram. According to the method, the situation that the cut-off farmland is mistakenly judged as the high-matching area due to neglect of physical obstruction is fundamentally avoided, and the space credibility of an ecological management zoning result is remarkably improved.

The invention discloses a water area resource utilization grading and pricing method based on spatial heterogeneity correction. The method comprises the following steps: S1, evaluating the service value of a water area ecosystem; s2, determining a water area resource utilization standard price; s3, dividing water area space levels; and S4, correcting the water area resource utilization standard price. According to the method, the water area resource utilization standard price is determined by quantifying the influence of water area resource utilization on the ecological system service value, the hierarchical water area resource utilization coefficient reflecting spatial heterogeneity is introduced for spatial correction, and finally the water area resource utilization hierarchical guidance price is formed. According to the method, a complete technical process from ecological system service value profit and loss quantification to space differentiation pricing is constructed, the water area resource utilization grading guidance price is determined, the technical blank in the field is filled, a scientific basis is provided for a water area resource management decision, and the economic benefit of the water area resource management decision is improved. The method has good operability, acceptability and popularization and application prospects, and ecological protection and sustainable utilization of water resources can be promoted.

The utility model discloses a multifunctional ecological unit riparian zone structure for reducing runoff pollution. The multifunctional ecological unit riparian zone structure comprises a green land unit arranged on a high land on the bank side, a gabion unit arranged on a side slope and a water side wetland unit arranged beside a river water body. The greenbelt unit comprises a soil layer, and an ecological plant layer is arranged on the surface of the soil layer; the gabion unit comprises four gabion units, the bottom of the first gabion unit and the bottom of the second gabion unit are located at the same height, and the contact portions of the first gabion unit and the second gabion unit form a viscous flow zone. A 10% first slope is arranged at the top of the second gabion unit, and a controllable water outlet is formed in the bottom of the second gabion unit; and the waterside wetland unit comprises wetland soil and emergent aquatic plants planted in the wetland soil. By optimizing the water flow path and organically combining the multifunctional ecological units, pollutants in rainwater runoff can be efficiently reduced, meanwhile, the ecological function of a riparian zone is recovered, and the water quality purification capacity, the landscape function and the ecological system service capacity of the riparian zone are improved.

The application discloses a natural ecosystem authenticity determination method and device, relates to the technical field of ecological evaluation, and comprises the following steps: acquiring land use data of a research area, and calculating an ecological structure authenticity index; identifying a natural reference area based on ecological environment zoning and the ecological structure authenticity index; acquiring ecosystem service data, and calculating an ecological process authenticity index and an ecological function authenticity index based on the natural reference area; acquiring species distribution data, and calculating a biological and indicator species authenticity index; acquiring human activity data, and calculating a human disturbance intensity index; and finally, normalizing and weightedly fusing the indexes to obtain a natural ecosystem authenticity comprehensive index. The application solves the problems of single dimension, neglect of regional natural benchmark differences and lack of a multi-factor comprehensive framework of the existing evaluation method, and significantly improves the scientific nature of natural reserve management.

The invention discloses an ecological protection red line optimization range determination method and system, and the method comprises the steps: obtaining dominant ecological system service evaluation results of each spatial scale unit in a target region under different spatial scales; respectively acquiring landscape pattern index data of each spatial scale unit in the target area under each different spatial scale; analyzing the driving degree of the landscape pattern index to the dominant ecosystem service under different spatial scales, and determining an optimized spatial scale; according to the change trend of the dominant ecosystem service along with the landscape pattern index under the optimized spatial scale, identifying a landscape pattern index abrupt change point and determining a landscape pattern index threshold value; and obtaining a spatial scale unit which does not meet the landscape pattern index threshold requirement in the target area, wherein the ecological protection red line area is the optimization range. According to the method, the ecological protection red line optimization range is determined based on the dynamic coupling relationship between the landscape pattern and the ecological system service, and the scientificity and rationality of ecological protection red line optimization can be ensured.

The present application relates to the technical field of ecological restoration, and particularly relates to a vegetation group ecological restoration design method based on multi-factor weighted scoring, comprising the following steps: investigation and scoring; index calculation; grading matching; vegetation configuration design; implementation and verification. The present application calculates an ecological restoration suitability index by investigating key environmental factors, introduces a multi-layer matching mechanism in combination with an actual scene, matches corresponding grades according to the score, and independently designs a vegetation group ecological restoration scheme for different regions after partitioning, so as to achieve the ecological restoration goal. The present application proposes a layered semi-circular vegetation group module, which not only enhances the structural stability and improves the water purification capacity, but also creates habitat continuity and spatial heterogeneity in the aquatic-terrestrial transition zone, significantly improves the ecosystem service function, and the mode has landscape function and ecological function, and is suitable for various types of ecological restoration scenes, and has promotional value.

The invention discloses an ecological system service multifunctional evaluation and spatial partition optimization method, and belongs to the field of ecological system services, and the method comprises the steps: obtaining spatial distribution data of a predetermined type of ecological system service in a research region, and carrying out the standardization processing; calculating a comprehensive service score representing the overall service supply level of the ecological system based on the standardized data; obtaining numerical discrete features between predetermined ecological system services, and calculating a trade-off strength index representing the imbalance degree between the services based on the numerical discrete features; determining a trade-off penalty coefficient, and reducing the comprehensive service score by using a denominator penalty term including the trade-off penalty coefficient and a trade-off strength index to obtain an ecological system service multifunctional index; and carrying out spatial partitioning on the research area. According to the method, the coupling evaluation of the total service amount and the balance is realized, and the problems that the service structure imbalance cannot be quantitatively described and the spatial heterogeneity cannot be ignored in a traditional method are effectively solved.

The invention discloses an ecological compensation method based on ecological system service value space circulation, and belongs to the technical field of ecological system service value space circulation and ecological compensation research. The method comprises the steps of ecosystem service value circulation evaluation with water as a medium, ecosystem service value circulation evaluation with air as a medium, ecosystem service value circulation total amount calculation and cross-regional transverse ecological compensation quota accounting. Based on an ecological system service value accounting result, a watershed hydrological model and an atmospheric environment quality model are introduced, a spatial circulation technical method system of the ecological system service value is established, and according to an ecological compensation theory framework, accurate quantification of spatial circulation of the ecological system service value and regional transverse ecological compensation is realized. According to the method, the subjectivity and fuzziness of a traditional compensation standard are effectively overcome, the landing problem that who benefits and who compensates is solved, and reliable technical support is provided for formulation and implementation of a transverse ecological compensation mechanism.

The invention belongs to the technical field of agricultural hydrology and ecology crossing, and relates to an irrigation area water-grain-ecology-environment-economy system intelligent evaluation method which integrates an agricultural hydrology model, a machine learning algorithm, an ecological system service value evaluation method and an economic benefit evaluation method. Taking meteorological data, soil data and preset irrigation and nitrogen application data of each subunit of the target irrigation area collected by field investigation as background data to form a built-in data set; driving data and background data are obtained as input, and then quantitative evaluation of an irrigation area water-grain-ecology-environment-economy system is carried out by utilizing a code plug-in fusion machine learning algorithm, an ecological system service value evaluation method and an economic benefit evaluation method. According to the method, the quantitative evaluation efficiency, the intelligent level and the evaluation efficiency of the water-grain-ecology-environment-economy system in the large irrigation area are remarkably improved.

The invention discloses a cross-regional pollution compensation method based on a multi-dimensional ecological bearing capacity and a game theory, and relates to the technical field of environmental economics and ecological compensation crossing, and the method comprises the following steps: 1, constructing a dynamic ecological bearing index CEI (i, t), and fusing the service supply capability, pollution absorption capability and social economic pressure of a regional ecological system to obtain a dynamic ecological bearing index CEI (i, t); the regional ecological environment bearing level is quantified; and step 2, establishing a pollution compensation responsibility distribution model based on the CEI (i, t) and the game theory, and determining the pollution responsibility ratio and the compensation amount of each region. The dynamic quantification of the ecological bearing capacity is realized, and the limitation of a traditional evaluation mode is broken through; the compensation mechanism is more fairness and scientificity, and the system acceptability is improved.

The application relates to a renewable energy site selection method considering ecological service value and belongs to the technical field of renewable energy site selection. The application considers the ecosystem influence of energy deployment, and proposes a renewable energy site selection method which comprehensively considers energy supply potential, economic, social, technical cost and ecosystem influence, and the method comprises the following steps: collecting basic data, processing obtained geographic information data; screening ecosystem service types, and determining various indexes involved in site selection; setting a limiting factor, and removing unfeasible patches in a region to be selected; calculating traditional index values and ecosystem service value related index values; determining the index weight by using an analytic hierarchy process; and quantitatively evaluating site selection suitability to obtain a renewable energy suitability distribution map. Therefore, the economic, social, technical and ecological comprehensive benefits of renewable energy site selection are optimized.

The invention relates to a vegetation damage identification and ecological evaluation method for a power transmission and transformation construction area. The method comprises the following steps: data preparation and preprocessing; identifying a vegetation damaged area; optimizing and verifying a result; ecological system service value loss evaluation; and ecological restoration suggestion generation: fusing the vegetation damage degree and the spatial distribution information of the ecological system service value loss, carrying out restoration priority partitioning, providing differentiated ecological restoration measures for different partitions, and outputting a partition ecological restoration planning map and an evaluation report. Through ecological system service value evaluation, quantification of ecological economic loss is realized, and a scientific basis is provided for power transmission and transformation project ecological supervision and restoration.

The invention discloses an ecological system service space-time evaluation and compensation decision method based on multi-model integration, and belongs to the technical field of ecological environment evaluation and decision support. According to the method, firstly, multiple key ecological services such as water yield and carbon sequestration are dynamically quantified through an ecological system service model; the core of the method is that key dominant factors influencing various services are accurately identified through machine learning, and geographical differences of action effects of the factors are further quantified, so that accurate positioning of dominant effects is realized. In addition, complex causal conduction paths among the factors are analyzed by using a structural equation model. According to the method, through deep integration and hierarchical progressive analysis of multiple models, the crossing from phenomenon evaluation to cause diagnosis is realized, and an accurate scientific decision basis is provided for formulating regionalized and differentiated ecological compensation policies and sustainable management strategies.

The application discloses a food supply service space flow path simulation method based on supply-demand relationship and belongs to the technical field of ecosystem services. Through data acquisition and preprocessing, the food supply and demand of each region are quantified to realize spatial expression. The supply-demand quantity relationship and spatial matching of food supply services are evaluated to understand the correlation of supply and demand in the overall space and the aggregation and differentiation characteristics in the local space. Through traffic accessibility evaluation and cost path analysis, the optimal flow path of food from the food supply area to the food demand area is determined to optimize the spatial configuration of food supply services. The application is based on the grid scale, combines land use data and normalized vegetation index to distribute food heat in the grid, not only makes up for the defects that fine scale is difficult to promote to large scale implementation, but also finely characterizes the supply-demand relationship of food supply services and realizes quantitative characterization of food supply service space flow path.

This invention discloses a method for assessing ecosystem service losses due to regional climate change. The region includes counties, cities, or important ecological function zones. The steps are as follows: S1. Collect remote sensing data and preprocess the data through band combination, geometric correction, and projection transformation. Select a standard color composite scheme, establish interpretation markers, and perform visual interpretation. S2. Calculate and statistically analyze the unit area yield value and equivalent factor of grain crops. The equivalent factor is 1 / 7 of the average market value of grain in the current year. S3. Statistically analyze land use types, calculate the magnitude of land use change, reflecting the changes in the total amount of different land use types and the overall trend of land use type changes. S4. Select vegetation cover as an indicator, and adjust the ecosystem service value based on two parameters: net primary productivity and vegetation cover. This invention is of great significance for formulating ecosystem management strategies under the background of future climate change.

The invention provides a configuration optimization system and method for a water and soil conservation type protection forest, and relates to the technical field of protection forest configuration, and the system comprises an information collection module which is used for obtaining multi-source data of a target area; the information matching module is used for screening a candidate tree species set; the grid generation module is used for dividing a region into a plurality of evaluation unit grids with geographic attributes; the configuration strategy generation module is used for generating an initial configuration scheme; the strategy optimization module is used for constructing a water and soil conservation benefit evaluation model and generating a recommendation configuration scheme with optimal comprehensive benefits; and the man-machine interaction module is used for finely adjusting and confirming the recommended configuration scheme. According to the invention, through multi-module cooperation and intelligent analysis, the improvement of protection forest configuration from extensive experience decision making to scientific and accurate planning is realized, the scientificity, high efficiency and sustainability of protection forest construction are significantly improved, and a powerful decision support tool is provided for the synergistic interaction of water and soil loss treatment and ecological system service functions.